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Software Product Reliability Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current software product reliability engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Cvshealth
📍 Work From Home, United States• Remote
25 days ago

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are hiring a Senior Full Stack Software Development Engineer with strong React and Python (with .NET as a nice-to-have) experience to join our Data Engineering team. You will serve as a key senior contributor, driving the end-to-end development of a new, critical internal self-service application. Your work on this software solution will be instrumental in our initiative to modernize how data is accessed and managed, enabling teams across the company to more easily work with their own data through the user-friendly tools you build. This project involves a shift from traditional data handling processes, with your primary focus being on creating a robust application that empowers this new approach to data accessibility and decentralized ownership. About this Role: This is a high-impact, high-autonomy role suited for a detail-oriented and collaborative individual who thrives on ownership, knows how to apply best practices, and can independently design, build, and maintain production-grade software. While you'll be leveraging your core software engineering expertise, you'll also be at the forefront of our data modernization, gaining deep insights into modern data architectures and practices by building the tools that enable them. You will have access to AI tooling to assist in all aspects of the SDLC. Y

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Snorkel AI
📍 United States• Hybrid• $208K – $315K/yr
25 days ago

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other parameter-efficient methods) where they match frontier quality, and know when they don't. Predictive difficulty. Build models that estimate how hard a task is for frontier systems before running a single rollout. Measurement for AI data. Build golden datasets, quantify the accuracy and calibratio

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Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge As a Senior Staff Software Engineer on the AI Governance Engineering team, you will play a critical role in shaping and building OneTrust's next-generation AI Governance platform. You will help transform complex AI governance, compliance, safety, and agent r

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For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Minimum experience of 4-6 Years required in AI ML Ops Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance

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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s Technology Development (TD) organization delivers critical manufacturing systems and software solutions that enable innovation, operational excellence, and future high-volume manufacturing capabilities. The team partners closely with engineering, manufacturing, infrastructure, and IT organizations to ensure reliable, scalable, and high-performing technology solutions that support advanced semiconductor development and production. As an IT Software Support Engineer, you will develop, maintain, and support software applications, databases, and data analysis solutions that are essential to manufacturing operations. This role requires strong solving, analytical, and technical skills, along with the ability to collaborate across global teams to resolve issues, improve system reliability, and drive continuous improvement. You will leverage modern development practices, automation, and AI-enabled technologies to enhance operational effectiveness and customer experience. Responsibilities Support, develop, and maintain manufacturing software solutions, databases, and data analysis systems to ensure high availability and operational performance. Fix and resolve critical system issues, minimize downtime, and implement sustainable software solutions that improve reliability and supportability. Design and develop utilities, monitoring solutions, metrics, and automation tools that improve support efficiency and operational visibility.</spa

pythonsqllinux
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Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an Architect / Senior Principal Software Development Engineer (Layer 7 Security & Proxy) to join our team. This is a hybrid role (minimum 3 days a week in Santa Clara, CA office), reporting to the Director, Software Development Engineering in the Zero Trust Exchange department. This architect role is essential to provide technical leadership for the ZIA proxy architecture, with a strong focus on advanced Layer 7 protocols and SSL inspection. You will help improve the quality of code shipped to production by driving sound architectural decisions, implementing innovative solutions, and raising the overall engineering bar for the team. Additionally, you will play a key role in modernizing the ZIA code base by addressing technical debt, fixing existing issues, and rewriting components where necessary. Ultimately, this role is critical for supporting and accelerating the delivery of key proxy roadmap

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Palantir
📍 Kitsap• Full-time• $135K – $200K/yr
27 days ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Software Engineers (FDSEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open ended question like “Why are we delaying so many flights?” or “How can we better identify instances of money laundering?” As an FDSE, you’ll apply your problem solving ability, creativity, and technical skills to help organizations use their data to drive a real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. As an FDSE your responsibilities look similar to those of a startup CTO: you’ll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team. Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place — with the best colleagues — to learn how. You’ll learn how to unpack a problem and understand the costs and consequences of its solution. You’ll learn new technologies and languages, and even develop them yourself. You’ll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop. Our Principles Impact: We take on meaningful and challenging projects that change the world for the better. <li

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Job Details: Job Description: Intel Foundry Automation - Back End Automation Group is seeking a talented student to support our Automation Integrators in advancing manufacturing automation systems. Key Responsibilities: • Assist Automation Integrators with troubleshooting, system upgrades, user training, and root cause analysis to improve efficiency and reduce waste. • Enable Automation Integrators in designing, developing, testing, and debugging software for factory operations, wafer processing, and packaging across multiple software layers. • Support client-based Station Controller systems through validation, troubleshooting, and quality control. Collaborate with global cross-functional teams to drive automation projects and integrate machine learning and AI solutions as needed. Qualifications: Candidates must be currently pursuing a bachelor's degree in computer science, Data Science, Computer Engineering, or a related discipline. They should possess strong analytical, problem-solving, and communication skills, along with hands-on programming experience in languages such as Python, C, and C#. Knowledge of Agile software development methodologies and experience with manufacturing systems are highly desirable. Job Type: Student / Intern Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations: Malaysia, Kulim Posti

pythonmachine learningai
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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Health100 is America's trusted front door to health and care. The Health100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer. The Senior Manager, Software Engineering will lead engineering teams building a best-in-class consumer health experience on the Health100 platform, focused on identifying, prioritizing, shaping, and executing complex platform initiatives. As a key member of our engineering organization, you will drive innovation, manage cross-functional teams, and deliver scalable cloud-native and AI-enabled solutions that improve consumer experiences and business outcomes. This role works within a top-notch organization of software developers who identify, design, and deliver technology solutions using Java, distributed systems, cloud platforms, and AI-powered capabilities to achieve defined business value. You will guide the integration and validation of complex technology solutions, drive engineering excellence, and leverage emerging technologies including Generative AI and intelligent automation to accelerate innovation and efficiency *Remote eligible within the United States. Preference for candidates in close proximity to our Woonsocket, RI headquarters. Resp

javagcpdocker
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The NVIDIA PerfTech team is looking for an outstanding Senior C&#43;&#43; Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C&#43;&#43;, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will build production-quality C&#43;&#43; components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: Architect and develop production-quality C&#43;&#43; components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. Build reliable, performance-sensitive systems connecting native C&#43;&#43; tools with Genie’s retrieval and agentic capabilities. Design maintainable interfaces between C&#43;&#43; applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling. Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations. Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams. Mentor engineers and help establish best practices for production-quality AI-powered systems. What We Need to See: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5&#43; years of professional experience developing complex production software in modern C&#43;&#43;. Strong knowledge of software architecture, concurrency, debugging, performance optimization, and maintainable API design. Exper

pythonaic++
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Work Flexibility: Hybrid Stryker are delighted to be hiring talented Software Engineers for our “R&D Graduate Programme” – to begin in September 2027. Applications close: Friday 24th October 2026. Please ensure your CV includes your academic results or current trending results (if final results are not yet available). The “R&D Graduate Programme” is a 24-month structured graduate development programme in the R&D function. The programme rotates on a 6-month rotating assignment basis in order to learn and develop the basic knowledge and skills in the various engineering areas of expertise. The position rotates on a 6 monthly assignment basis: Design Advanced Operations / Research and Technology Development Advanced Quality Engineering Engineering Services (CAD/Prototype/Test Lab) What Are We Looking For? Dedicated achievers : People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations. Curious learners . People who seek out cutting-edge research and information to expand and enhance their ability to develop new ideas into reality. Collaborative partners . People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices. During each rotational assignment participants will be responsible for: Software: <

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Everpure
📍 Santa Clara• $180K – $270K/yr
29 days ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking an experienced Platform Software Engineer for our Systems Software Team. You will be working as part of a dynamic team and will be responsible for designing, developing, and testing system software functionality for Pure’s upcoming platforms. The work spans the gamut of Systems software and you will have the opportunity to work in a wide range of areas and features ranging from Platform drivers to networking and storage layers. WHAT YOU'LL DO Plan and influence the lifecycle of new Hardware Platforms. Work on problems ranging from design, bring up, to deployment, upgrades and fleet level reliability. Participate in the full lifecycle of new hardware platforms from early bring up through manufacturing release. Work closely with peer teams to debug complex HW/FW of new server hardware, including CPUs, chipsets, and peripheral components. Debug complex HW/FW issues across x86, PCIe, NVMe, and networking using lab tools (oscilloscope, logic analyzer, JTAG) and kernel/driver traces. Design, implement and improve remote server management capabilities (e.g., using standards like Redfish) and enhance Reliability, Availability, and Serviceability (RAS) features. Design, write and maintain software components in C/C++, Python, Golang and RUST. Collaborate with vendors on requirements specification and follow through to system delivery. Work closely with hardware engineers, system architects, and o

pythonlinuxai
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Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are looking for a Senior Full Stack Engineer to build and evolve our platform using .NET, React, and SQL Server-based systems. You will work across services, APIs, and front-end systems with a focus on scalability, reliability, and maintainability. You will operate within a globally distributed Agile team (Scrum and ShapeUp), where engineers own delivery, from design through deployment, while collaboratin

reactsqlazure
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29 days ago

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality! CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will evangelize, architect, and implement new CUDA features You'll oversee and drive development efforts across multiple teams Collaborate with members of hardware architecture teams Help define forward-looking improvements to the CUDA APIs and programming model Design and maintain performance and precision modeling Write effective, maintainable, and well-tested code Develop code for multiple operating systems What we need to see: Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) 15&#43; years of relevant systems software development experience Strong C programming skills </

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The NVIDIA PerfTech team is looking for a talented C&#43;&#43; Software Engineer to help build the next generation of AI-powered developer tools. You will apply strong C&#43;&#43; and software-engineering fundamentals while gaining hands-on experience with agentic workflows, retrieval systems, and AI services. In this role, you will contribute to Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will work across C&#43;&#43; tools and AI services to help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: Develop production-quality C&#43;&#43; components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. Build capabilities connecting native C&#43;&#43; tools with Genie’s retrieval and agentic features. Contribute to agentic workflows, retrieval systems, ingestion pipelines, MCP tools, APIs, and enterprise integrations. Build benchmarks and improve retrieval quality, reliability, performance, and resource usage. Own features from investigation and design through implementation, testing, and delivery. Collaborate with graphics, software, and hardware teams developing performance-analysis and developer tools. What We Need to See: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5&#43; years of modern C&#43;&#43; programming skills gained through professional experience, internships, or substantial technical projects. Good understanding of data structures, algorithms, object-oriented design, multithreading, debugging, and testing. Ability and motivation to work across C&#43;&#43; systems and Python-based AI services. Familiarity with AI-powered applications, agentic workflows, retrieval systems, or related technologies. Abil

pythonaic++
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